Triple
T19955799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatia at the Youth Olympic Games |
E479677
|
entity |
| Predicate | youthAthleteAgeRange |
P2736
|
FINISHED |
| Object | 14–18 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 14–18 | Statement: [Croatia at the Youth Olympic Games, youthAthleteAgeRange, 14–18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthAthleteAgeRange Context triple: [Croatia at the Youth Olympic Games, youthAthleteAgeRange, 14–18]
-
A.
typicalAgeRangeOfPlayers
Indicates the usual age range of people who typically play or participate in something.
-
B.
youthSport
Indicates a relationship where an individual participates in or is associated with a sport specifically organized for young people.
-
C.
youthYears
Indicates the period of time during which an individual spent their youth, typically associated with early development or formative years, often in relation to an organization, activity, or place.
-
D.
fifaU20WWC_ageCategory
Indicates the age-based competition category associated with participation in the FIFA U-20 Women's World Cup.
-
E.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aefd9488190b8cdfa8543db8d31 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.